**Experienced Data Engineer – Cloud-Based Data Pipeline Development and Support**
At arenaflex, we're revolutionizing the way we approach data-driven decision-making, and we're looking for a talented Data Engineer to join our team. As a Data Engineer at arenaflex, you'll play a critical role in designing, developing, and maintaining our cloud-based data pipelines, ensuring seamless data flow and insights for our business stakeholders. **About arenaflex** arenaflex is a leading innovator in the entertainment industry, with a rich history of pushing boundaries and creating unforgettable experiences for our audiences. Our Disney Choice Science + Mix (DDSI) association is dedicated to supporting clients across The Walt Disney Organization, including Disney Parks, Experiences and Products, Disney Consumer Products and Interactive Media, and Disney Media and Entertainment Distribution. We're passionate about harnessing the power of data and technology to drive business value and inform our strategic decisions. **The Role** As a Data Engineer on our team, you'll work closely with our Choice Science, Client, and Innovation colleagues on various projects, including data pipeline development, sustainment, and research initiatives. You'll be responsible for designing and implementing data pipelines, data sets, and workflows that meet the needs of our business stakeholders. Your work will involve: * Collaborating with cross-functional teams to gather requirements, design, and implement data pipelines and workflows * Developing and maintaining ETL/ELT data pipelines using SQL, Python, and other tools * Creating and managing data sets, tables, and views to support business analytics and science models * Delivering high-quality data sets and insights to support business decision-making * Troubleshooting and resolving data pipeline issues and errors * Staying up-to-date with industry trends and emerging technologies to inform our data engineering practices **The Tools of the Trade** We're a cloud-first organization, and we use a range of tools to support our data engineering work. You'll have the opportunity to work with: * SQL (primarily Snowflake and PostgreSQL) * Python * Docker * GitLab * Wind stream * Other cloud-based data engineering tools and technologies **What We're Looking For** To succeed in this role, you'll need: * A Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field * 2+ years of experience in ELT/ETL data pipeline development and support * Strong skills in Python and SQL (ideally with Snowflake) * Experience working in a multi-cloud environment (Dev, QA, Prod, etc.) and with DEVOPS strategies for code organization and development * Experience creating and maintaining automated job schedulers * A solid understanding of data modeling and design principles **What Sets You Apart** If you have experience working with large datasets and big data technologies, ideally cloud-based, like Snowflake, Databricks, or similar, you'll be well-positioned for success in this role. Additionally, experience with cloud design and product offerings, ideally AWS, and proficiency in using a source control tool like GitLab/GitHub will be a plus. **Why Join arenaflex?** At arenaflex, we offer a dynamic and supportive work environment that fosters collaboration, innovation, and growth. As a Data Engineer, you'll have the opportunity to work on high-impact projects, develop your skills and expertise, and contribute to the success of our business. We also offer a range of benefits, including: * Competitive salary and benefits package * Opportunities for professional growth and development * Collaborative and dynamic work environment * Recognition and rewards for outstanding performance * Flexible work arrangements and remote work options **How to Apply** If you're passionate about data engineering and want to join a team that's pushing the boundaries of innovation, apply now! Please submit your resume and a cover letter outlining your experience, skills, and qualifications for this role. We can't wait to hear from you! Apply Now! Apply for this job